Ford Motor (F) Cost of Revenue (2009 - 2026)
Ford Motor (F) reported Cost of Revenue of $42.15 billion for Q3 2026, down 2.9% from $43.41 billion a year earlier and down 0.2% from the prior quarter.
Ford Motor (F) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Ford Motor's Cost of Revenue came in at $171.3 billion, up 4.4% year-over-year; for FY2025, it was $174.47 billion, up 10.1% from FY2024.
- Cost of Revenue has increased for five consecutive years, with a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $158.43 billion in FY2024 (+5.2%), $150.55 billion in FY2023 (+12.0%), $134.4 billion in FY2022 (+17.2%) and $114.65 billion in FY2021 (+1.7%).
- Five-year quarterly Cost of Revenue spans a low of $29.04 billion in Q1 2022 and a high of $51.62 billion in Q4 2025.
- Year over year, Cost of Revenue gained in five of the last eight quarters, with growth averaging 4.1%.
- The high point for year-over-year Cost of Revenue in five years was Q2 2022 (growth of 44.9%); the low point was Q2 2026 (a decline of 4.6%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $42.22 billion (Q2 2026), $35.31 billion (Q1 2026) and $51.62 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,160.73 Bn | 982.96 Bn | 5.49 Bn | 22.55 Bn |
| 2 | General Motors | 75.19 Bn | -29.42 Bn | 9.28 Bn | 40.74 Bn |
| 3 | Ferrari | 74.17 Bn | 66.47 Bn | 1.14 Bn | 1.04 Bn |
| 4 | Ford Motor | 49.64 Bn | -84.78 Bn | 7.38 Bn | 42.15 Bn |
| 5 | Honda Motor | 47.63 Bn | -102.18 Bn | 8.46 Bn | 29.57 Bn |
| 6 | Toyota Motor | 28.28 Bn | -349.28 Bn | 19.83 Bn | 64.56 Bn |
| 7 | Rivian Automotive | 19.71 Bn | -2.02 Bn | 176.00 Mn | 1.98 Bn |
| 8 | Magna International | 17.43 Bn | 11.40 Bn | 1.63 Bn | 8.43 Bn |
| 9 | Stellantis | 12.80 Bn | -148.64 Bn | 3.94 Bn | 39.33 Bn |
| 10 | Li Auto | 12.62 Bn | -36.34 Bn | 417.98 Mn | 3.36 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 42.15 Bn |
| Jun 30, 2026 | 42.22 Bn |
| Mar 31, 2026 | 35.31 Bn |
| Dec 31, 2025 | 51.62 Bn |
| Sep 30, 2025 | 43.41 Bn |
| Jun 30, 2025 | 44.25 Bn |
| Mar 31, 2025 | 35.19 Bn |
| Dec 31, 2024 | 41.30 Bn |
| Sep 30, 2024 | 40.17 Bn |
| Jun 30, 2024 | 40.49 Bn |
| Mar 31, 2024 | 36.48 Bn |
| Dec 31, 2023 | 40.86 Bn |
| Sep 30, 2023 | 37.55 Bn |
| Jun 30, 2023 | 37.47 Bn |
| Mar 31, 2023 | 34.67 Bn |
| Dec 31, 2022 | 37.82 Bn |
| Sep 30, 2022 | 34.35 Bn |
| Jun 30, 2022 | 33.19 Bn |
| Mar 31, 2022 | 29.04 Bn |
| Dec 31, 2021 | 32.39 Bn |
Ford Motor Cost of Revenue API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=F&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "F", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=F&period=max&api_key=YOUR_API_KEY");
const data = await res.json();